ALLOUNE
commited on
Commit
·
6986adb
1
Parent(s):
be240c1
add twist
Browse files- app.py +13 -30
- src/ressources/main_css.py +349 -0
- src/services/processor.py +5 -2
app.py
CHANGED
@@ -62,7 +62,6 @@ async def process_constraints(constraints: InputConstraints):
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@app.post("/prior-art-constraints", response_model=OutputPriorArt)
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async def prior_art_constraints(data: InputPriorArtConstraints):
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prior_art = process_prior_art(data.technologies, data.constraints, "constraints", "pydantic")
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-
print(prior_art)
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return prior_art
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@app.post("/prior-art-problems", response_model=OutputPriorArt)
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@@ -249,7 +248,6 @@ def format_prior_art_html(prior_art_data: dict) -> str:
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def gradio_prior_art(best_technologies, constraints):
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prior_art = process_prior_art(best_technologies, constraints, "constraints", "dict")
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html_prior_art = format_prior_art_html(prior_art)
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-
print(html_prior_art)
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return html_prior_art
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def process_input_gradio(problem_description: str):
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@@ -297,19 +295,12 @@ def process_input_gradio(problem_description: str):
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final_technologies_html = format_final_technologies_html(best_technologies)
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return (
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-
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-
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-
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-
"
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final_technologies_html, # Output HTML for final technologies
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{"technologies": best_technologies}, # `best_technologies` is the actual list of dicts
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constraints
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)
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-
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-
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-
# Return a gr.update object to change the value and visibility in one step
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-
# return gr.update(value=html_prior_art, visible=True)
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-
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# --- Gradio Interface Setup ---
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input_problem = gr.Textbox(
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@@ -317,18 +308,16 @@ input_problem = gr.Textbox(
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placeholder="e.g., Develop a secure and scalable e-commerce platform with real-time analytics."
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)
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-
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-
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-
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-
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output_final_technologies = gr.HTML(label="9. Final Best Technologies") # Changed to HTML
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-
output_prior_art = gr.HTML(label="10. Prior Art Analysis") # Initially hidden
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stock_technologies = gr.JSON(visible=False)
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stock_constraints = gr.JSON(visible=False)
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with gr.Blocks(
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-
theme=gr.themes.
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css=custom_css
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) as gradio_app_blocks:
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gr.Markdown("# Insight Finder: Step-by-Step Technology Selection")
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@@ -347,12 +336,11 @@ with gr.Blocks(
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with gr.Row():
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with gr.Column():
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-
output_prompt.render()
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output_constraints.render()
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with gr.Column():
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-
output_selected_ids.render()
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output_best_combinations.render()
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-
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gr.Markdown("---")
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gr.Markdown("### Prior Art Analysis")
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@@ -365,10 +353,8 @@ with gr.Blocks(
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fn=process_input_gradio,
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inputs=input_problem,
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outputs=[
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-
output_prompt,
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output_constraints,
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output_best_combinations,
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-
output_selected_ids,
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output_final_technologies,
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stock_technologies,
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stock_constraints
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@@ -381,7 +367,4 @@ with gr.Blocks(
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outputs=output_prior_art
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)
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-
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gr.mount_gradio_app(app, gradio_app_blocks, path="/gradio")
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-
#if __name__ == "__main__":
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# gradio_app_blocks.launch()
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@app.post("/prior-art-constraints", response_model=OutputPriorArt)
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async def prior_art_constraints(data: InputPriorArtConstraints):
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prior_art = process_prior_art(data.technologies, data.constraints, "constraints", "pydantic")
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return prior_art
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@app.post("/prior-art-problems", response_model=OutputPriorArt)
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def gradio_prior_art(best_technologies, constraints):
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prior_art = process_prior_art(best_technologies, constraints, "constraints", "dict")
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html_prior_art = format_prior_art_html(prior_art)
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return html_prior_art
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def process_input_gradio(problem_description: str):
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final_technologies_html = format_final_technologies_html(best_technologies)
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return (
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+
constraints_html,
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+
best_combinations_html,
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+
final_technologies_html,
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+
{"technologies": best_technologies},
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constraints
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+
)
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# --- Gradio Interface Setup ---
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input_problem = gr.Textbox(
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placeholder="e.g., Develop a secure and scalable e-commerce platform with real-time analytics."
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)
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+
output_constraints = gr.HTML(label="Retrieved Constraints") # Changed to HTML
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+
output_best_combinations = gr.HTML(label="Best Technology Combinations Found") # Changed to HTML
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+
output_final_technologies = gr.HTML(label="Final Best Technologies") # Changed to HTML
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+
output_prior_art = gr.HTML(label="Prior Art Analysis") # Initially hidden
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stock_technologies = gr.JSON(visible=False)
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stock_constraints = gr.JSON(visible=False)
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with gr.Blocks(
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+
theme=gr.themes.Base(),
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css=custom_css
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) as gradio_app_blocks:
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gr.Markdown("# Insight Finder: Step-by-Step Technology Selection")
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with gr.Row():
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with gr.Column():
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output_constraints.render()
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with gr.Column():
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output_best_combinations.render()
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+
with gr.Row():
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+
output_final_technologies.render()
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gr.Markdown("---")
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gr.Markdown("### Prior Art Analysis")
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fn=process_input_gradio,
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inputs=input_problem,
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outputs=[
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output_constraints,
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output_best_combinations,
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output_final_technologies,
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stock_technologies,
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stock_constraints
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outputs=output_prior_art
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)
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+
gr.mount_gradio_app(app, gradio_app_blocks, path="/gradio")
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src/ressources/main_css.py
ADDED
@@ -0,0 +1,349 @@
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1 |
+
custom_css = """
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2 |
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/* General Body and Font Styling */
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3 |
+
body {
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4 |
+
color: #333;
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5 |
+
background-color: #f0f2f5;
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6 |
+
}
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7 |
+
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8 |
+
/* Header Styling */
|
9 |
+
.gradio-container h1 {
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10 |
+
color: #0056b3; /* A deep blue for the main title */
|
11 |
+
text-align: center;
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12 |
+
margin-bottom: 10px;
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13 |
+
font-weight: 600;
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14 |
+
font-size: 2.5em;
|
15 |
+
text-shadow: 1px 1px 2px rgba(0,0,0,0.1);
|
16 |
+
}
|
17 |
+
|
18 |
+
.gradio-container h2 {
|
19 |
+
color: #007bff; /* A slightly lighter blue for subtitles */
|
20 |
+
text-align: center;
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21 |
+
margin-top: 0;
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22 |
+
margin-bottom: 30px;
|
23 |
+
font-weight: 400;
|
24 |
+
font-size: 1.2em;
|
25 |
+
}
|
26 |
+
|
27 |
+
/* Card-like styling for individual components */
|
28 |
+
.gradio-container .gr-box {
|
29 |
+
background-color: #ffffff;
|
30 |
+
border-radius: 12px;
|
31 |
+
box-shadow: 0 4px 12px rgba(0, 0, 0, 0.08);
|
32 |
+
padding: 20px;
|
33 |
+
margin-bottom: 20px;
|
34 |
+
border: 1px solid #e0e0e0;
|
35 |
+
}
|
36 |
+
|
37 |
+
/* Input Textbox Styling */
|
38 |
+
.gradio-container input[type="text"],
|
39 |
+
.gradio-container textarea {
|
40 |
+
border: 1px solid #ced4da;
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41 |
+
border-radius: 8px;
|
42 |
+
padding: 12px 15px;
|
43 |
+
font-size: 1em;
|
44 |
+
color: #495057;
|
45 |
+
transition: border-color 0.2s ease-in-out, box-shadow 0.2s ease-in-out;
|
46 |
+
}
|
47 |
+
|
48 |
+
.gradio-container input[type="text"]:focus,
|
49 |
+
.gradio-container textarea:focus {
|
50 |
+
border-color: #007bff;
|
51 |
+
box-shadow: 0 0 0 0.2rem rgba(0, 123, 255, 0.25);
|
52 |
+
outline: none;
|
53 |
+
}
|
54 |
+
|
55 |
+
/* Button Styling */
|
56 |
+
.gradio-container button {
|
57 |
+
background-color: #28a745; /* A vibrant green for action */
|
58 |
+
color: white;
|
59 |
+
border: none;
|
60 |
+
border-radius: 8px;
|
61 |
+
padding: 12px 25px;
|
62 |
+
font-size: 1.1em;
|
63 |
+
font-weight: 500;
|
64 |
+
cursor: pointer;
|
65 |
+
transition: background-color 0.2s ease-in-out, transform 0.1s ease-in-out;
|
66 |
+
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
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67 |
+
}
|
68 |
+
|
69 |
+
.gradio-container button:hover {
|
70 |
+
background-color: #218838; /* Darker green on hover */
|
71 |
+
transform: translateY(-2px);
|
72 |
+
}
|
73 |
+
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74 |
+
.gradio-container button:active {
|
75 |
+
transform: translateY(0);
|
76 |
+
}
|
77 |
+
|
78 |
+
/* Labels for outputs */
|
79 |
+
.gradio-container label {
|
80 |
+
font-weight: 600;
|
81 |
+
color: #495057;
|
82 |
+
margin-bottom: 8px;
|
83 |
+
display: block; /* Ensure labels are on their own line */
|
84 |
+
font-size: 1.1em;
|
85 |
+
}
|
86 |
+
|
87 |
+
/* --- Specific Styling for Outputs --- */
|
88 |
+
|
89 |
+
/* 2. Retrieved Constraints Styling */
|
90 |
+
.constraints-container {
|
91 |
+
padding: 15px;
|
92 |
+
background-color: #f8f9fa;
|
93 |
+
border-radius: 8px;
|
94 |
+
border: 1px solid #e9ecef;
|
95 |
+
font-family: 'Trebuchet MS', 'Lucida Grande', 'Lucida Sans Unicode', 'Lucida Sans', Tahoma, sans-serif; /* Different font */
|
96 |
+
line-height: 1.6;
|
97 |
+
max-height: 300px;
|
98 |
+
overflow-y: auto;
|
99 |
+
}
|
100 |
+
.constraint-item {
|
101 |
+
margin-bottom: 10px;
|
102 |
+
padding-bottom: 10px;
|
103 |
+
border-bottom: 1px dashed #e0e0e0;
|
104 |
+
}
|
105 |
+
.constraint-item:last-child {
|
106 |
+
border-bottom: none;
|
107 |
+
margin-bottom: 0;
|
108 |
+
padding-bottom: 0;
|
109 |
+
}
|
110 |
+
.constraint-title {
|
111 |
+
font-weight: bold;
|
112 |
+
color: #004085; /* Darker blue for constraint titles */
|
113 |
+
font-size: 1.1em;
|
114 |
+
}
|
115 |
+
.constraint-description {
|
116 |
+
color: #333;
|
117 |
+
font-size: 1em;
|
118 |
+
}
|
119 |
+
|
120 |
+
/* 7. Best Technology Combinations Found & 9. Final Best Technologies Styling */
|
121 |
+
.combinations-outer-container, .final-tech-container {
|
122 |
+
padding: 15px;
|
123 |
+
background-color: #f8f9fa;
|
124 |
+
border-radius: 8px;
|
125 |
+
border: 1px solid #e9ecef;
|
126 |
+
max-height: 500px; /* Adjust as needed */
|
127 |
+
overflow-y: auto;
|
128 |
+
font-family: 'Trebuchet MS', 'Lucida Grande', 'Lucida Sans Unicode', 'Lucida Sans', Tahoma, sans-serif; /* Different font */
|
129 |
+
}
|
130 |
+
|
131 |
+
.problem-card {
|
132 |
+
background-color: #ffffff;
|
133 |
+
border: 1px solid #cfe2ff; /* Light blue border for problem card */
|
134 |
+
border-radius: 10px;
|
135 |
+
padding: 20px;
|
136 |
+
margin-bottom: 20px;
|
137 |
+
box-shadow: 0 4px 10px rgba(0, 0, 0, 0.05);
|
138 |
+
}
|
139 |
+
.problem-card-title {
|
140 |
+
color: #0056b3; /* Deep blue for problem title */
|
141 |
+
font-size: 1.4em;
|
142 |
+
margin-top: 0;
|
143 |
+
margin-bottom: 15px;
|
144 |
+
border-bottom: 2px solid #cfe2ff;
|
145 |
+
padding-bottom: 10px;
|
146 |
+
}
|
147 |
+
|
148 |
+
.technologies-inner-container {
|
149 |
+
display: grid;
|
150 |
+
grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); /* Responsive grid for technologies */
|
151 |
+
gap: 15px;
|
152 |
+
}
|
153 |
+
|
154 |
+
.technology-card, .final-tech-card {
|
155 |
+
background-color: #f0faff; /* Very light blue for technology cards */
|
156 |
+
border: 1px solid #b0d9ff; /* Slightly darker blue border */
|
157 |
+
border-radius: 8px;
|
158 |
+
padding: 15px;
|
159 |
+
box-shadow: 0 2px 5px rgba(0, 0, 0, 0.05);
|
160 |
+
transition: transform 0.2s ease-in-out;
|
161 |
+
}
|
162 |
+
|
163 |
+
.technology-card:hover, .final-tech-card:hover {
|
164 |
+
transform: translateY(-3px);
|
165 |
+
}
|
166 |
+
|
167 |
+
.tech-card-title, .final-tech-title {
|
168 |
+
color: #007bff; /* Gradio's primary blue */
|
169 |
+
font-size: 1.2em;
|
170 |
+
margin-top: 0;
|
171 |
+
margin-bottom: 10px;
|
172 |
+
font-weight: 600;
|
173 |
+
}
|
174 |
+
|
175 |
+
.technology-card p, .final-tech-card p {
|
176 |
+
font-size: 0.95em;
|
177 |
+
line-height: 1.5;
|
178 |
+
margin-bottom: 5px;
|
179 |
+
color: #555;
|
180 |
+
}
|
181 |
+
.technology-card p strong, .final-tech-card p strong {
|
182 |
+
color: #004085; /* Darker blue for bold labels */
|
183 |
+
}
|
184 |
+
|
185 |
+
/* --- Prior Art Section Styling --- */
|
186 |
+
.prior-art-container {
|
187 |
+
background-color: #e6f7ff; /* Very light blue background for distinct section */
|
188 |
+
border: 2px solid #99d6ff; /* A clear blue border */
|
189 |
+
border-radius: 15px;
|
190 |
+
padding: 25px;
|
191 |
+
margin-top: 30px;
|
192 |
+
box-shadow: 0 6px 18px rgba(0, 0, 0, 0.1);
|
193 |
+
font-family: 'Trebuchet MS', 'Lucida Grande', 'Lucida Sans Unicode', 'Lucida Sans', Tahoma, sans-serif; /* Different font */
|
194 |
+
color: #2c3e50; /* Darker text for readability */
|
195 |
+
line-height: 1.7;
|
196 |
+
max-height: 800px; /* Constrain height */
|
197 |
+
overflow-y: auto; /* Enable scrolling */
|
198 |
+
}
|
199 |
+
|
200 |
+
.prior-art-container h3, .prior-art-container h4, .prior-art-container h5 {
|
201 |
+
color: #003366; /* Even darker blue for headings */
|
202 |
+
font-weight: 700;
|
203 |
+
margin-top: 20px;
|
204 |
+
margin-bottom: 10px;
|
205 |
+
}
|
206 |
+
|
207 |
+
.prior-art-summary p {
|
208 |
+
margin-bottom: 10px;
|
209 |
+
}
|
210 |
+
|
211 |
+
.prior-art-summary .summary-bullet {
|
212 |
+
margin-left: 20px;
|
213 |
+
margin-bottom: 5px;
|
214 |
+
}
|
215 |
+
.prior-art-summary .summary-bullet strong {
|
216 |
+
color: #0056b3;
|
217 |
+
}
|
218 |
+
|
219 |
+
|
220 |
+
.prior-art-documents {
|
221 |
+
margin-top: 25px;
|
222 |
+
display: grid;
|
223 |
+
grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
|
224 |
+
gap: 20px;
|
225 |
+
}
|
226 |
+
|
227 |
+
.prior-art-document-card {
|
228 |
+
background-color: #ffffff;
|
229 |
+
border: 1px solid #b3e0ff; /* Lightest blue for document cards */
|
230 |
+
border-radius: 10px;
|
231 |
+
padding: 20px;
|
232 |
+
box-shadow: 0 3px 8px rgba(0, 0, 0, 0.05);
|
233 |
+
transition: transform 0.2s ease-in-out;
|
234 |
+
}
|
235 |
+
|
236 |
+
.prior-art-document-card:hover {
|
237 |
+
transform: translateY(-5px);
|
238 |
+
}
|
239 |
+
|
240 |
+
.document-title {
|
241 |
+
color: #007bff;
|
242 |
+
font-size: 1.3em;
|
243 |
+
margin-top: 0;
|
244 |
+
margin-bottom: 10px;
|
245 |
+
border-bottom: 1px solid #e0f2ff;
|
246 |
+
padding-bottom: 8px;
|
247 |
+
}
|
248 |
+
|
249 |
+
.document-description {
|
250 |
+
font-size: 0.95em;
|
251 |
+
color: #444;
|
252 |
+
margin-bottom: 15px;
|
253 |
+
}
|
254 |
+
.document-description strong {
|
255 |
+
color: #004085;
|
256 |
+
}
|
257 |
+
|
258 |
+
.document-technologies h5 {
|
259 |
+
color: #0056b3;
|
260 |
+
font-size: 1em;
|
261 |
+
margin-top: 10px;
|
262 |
+
margin-bottom: 8px;
|
263 |
+
border-bottom: 1px dashed #cceeff;
|
264 |
+
padding-bottom: 5px;
|
265 |
+
}
|
266 |
+
|
267 |
+
.document-technologies ul {
|
268 |
+
list-style-type: none; /* Remove default bullet points */
|
269 |
+
padding-left: 0;
|
270 |
+
margin-top: 0;
|
271 |
+
}
|
272 |
+
.document-technologies li {
|
273 |
+
background-color: #f5fcff; /* Even lighter background for list items */
|
274 |
+
border-left: 3px solid #007bff;
|
275 |
+
padding: 8px 10px;
|
276 |
+
margin-bottom: 5px;
|
277 |
+
border-radius: 4px;
|
278 |
+
font-size: 0.9em;
|
279 |
+
color: #333;
|
280 |
+
}
|
281 |
+
.document-technologies li strong {
|
282 |
+
color: #003366;
|
283 |
+
}
|
284 |
+
|
285 |
+
/* Disruptive line */
|
286 |
+
.disruptive-line {
|
287 |
+
border: none;
|
288 |
+
border-top: 3px dashed #007bff; /* Blue dashed line */
|
289 |
+
margin: 40px auto;
|
290 |
+
width: 80%;
|
291 |
+
opacity: 0.7;
|
292 |
+
}
|
293 |
+
|
294 |
+
/* Prior Art Inline Links (e.g., [1]) */
|
295 |
+
.prior-art-inline-link {
|
296 |
+
color: #007bff; /* Blue for clickable numbers */
|
297 |
+
text-decoration: none;
|
298 |
+
font-weight: bold;
|
299 |
+
transition: color 0.2s ease-in-out;
|
300 |
+
}
|
301 |
+
.prior-art-inline-link:hover {
|
302 |
+
color: #0056b3;
|
303 |
+
text-decoration: underline;
|
304 |
+
}
|
305 |
+
|
306 |
+
/* Grouped URI Links at the end */
|
307 |
+
.grouped-uris-section {
|
308 |
+
margin-top: 30px;
|
309 |
+
padding-top: 20px;
|
310 |
+
border-top: 1px solid #cceeff;
|
311 |
+
}
|
312 |
+
.grouped-uris-section h3 {
|
313 |
+
text-align: center;
|
314 |
+
color: #0056b3;
|
315 |
+
}
|
316 |
+
.grouped-uris-section ul {
|
317 |
+
list-style-type: decimal; /* Numbered list */
|
318 |
+
padding-left: 25px;
|
319 |
+
margin-top: 15px;
|
320 |
+
}
|
321 |
+
.grouped-uris-section li {
|
322 |
+
margin-bottom: 8px;
|
323 |
+
}
|
324 |
+
.prior-art-grouped-link {
|
325 |
+
color: #007bff;
|
326 |
+
text-decoration: none;
|
327 |
+
transition: text-decoration 0.2s ease-in-out;
|
328 |
+
}
|
329 |
+
.prior-art-grouped-link:hover {
|
330 |
+
text-decoration: underline;
|
331 |
+
}
|
332 |
+
|
333 |
+
/* Responsive adjustments */
|
334 |
+
@media (max-width: 768px) {
|
335 |
+
.gradio-container {
|
336 |
+
padding: 15px;
|
337 |
+
}
|
338 |
+
.gradio-container h1 {
|
339 |
+
font-size: 2em;
|
340 |
+
}
|
341 |
+
.gradio-container button {
|
342 |
+
width: 100%;
|
343 |
+
padding: 15px;
|
344 |
+
}
|
345 |
+
.technologies-inner-container, .prior-art-documents {
|
346 |
+
grid-template-columns: 1fr; /* Stack columns on smaller screens */
|
347 |
+
}
|
348 |
+
}
|
349 |
+
"""
|
src/services/processor.py
CHANGED
@@ -240,8 +240,11 @@ def search_prior_art(technologies_input: list, data: str, data_type: str, techno
|
|
240 |
prompt = f"Find prior art patents or research paper online that address those constraints: '{data}'. " \
|
241 |
|
242 |
prompt += f"Using any combination of the following technologies: {', '.join(technology_titles)}. " \
|
243 |
-
f"Specifically look for patents that integrate multiple of these technologies.
|
244 |
-
f"Indicate for each document found what technologies is used inside of it from the provided list"
|
|
|
|
|
|
|
245 |
|
246 |
client,config = set_gemini()
|
247 |
|
|
|
240 |
prompt = f"Find prior art patents or research paper online that address those constraints: '{data}'. " \
|
241 |
|
242 |
prompt += f"Using any combination of the following technologies: {', '.join(technology_titles)}. " \
|
243 |
+
f"Specifically look for patents that integrate multiple of these technologies." \
|
244 |
+
f"Indicate for each document found what technologies is used inside of it from the provided list" \
|
245 |
+
f"Indicate for each document the solution, then the twist of this solution," \
|
246 |
+
f"What makes it different from all the other existing solutions." \
|
247 |
+
f"Output only one sentence for the solution and the twist." \
|
248 |
|
249 |
client,config = set_gemini()
|
250 |
|