Create app.py

app.py

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+import os
+import gradio as gr
+import google.generativeai as genai
+import tempfile
+
+# Ensure the API key is set
+api_key = os.getenv("GOOGLE_API_KEY")
+if not api_key:
+    raise ValueError("GOOGLE_API_KEY not found. Please set it in your environment variables.")
+genai.configure(api_key=api_key)
+
+# Initialize the Gemini model
+model = genai.GenerativeModel(model_name="gemini-2.0-flash-exp")
+
+def process_input(text_input, files):
+    """Process input text and files, send them to the Gemini API, and get a response."""
+    contents = []
+    if text_input:
+        contents.append({"text": text_input})  # Add text content for Gemini
+
+    # Handle files: read and prepare for Gemini API
+    for file in files:
+        # Temporary file storage to read content
+        with tempfile.NamedTemporaryFile(delete=False) as tmp:
+            tmp.write(file.read())
+            tmp.seek(0)  # Rewind file to the beginning for reading
+            
+            # Depending on file type and Gemini requirements, you might adjust how you read the file
+            contents.append({
+                "file": tmp.name,
+                "mime_type": file.type  # MIME type is needed if specific handling is required by Gemini
+            })
+
+    # Call Gemini API to process the collected contents
+    try:
+        response = model.generate_content(contents)
+        response.resolve()
+        return response.text
+    except Exception as e:
+        return f"Error communicating with Gemini API: {e}"
+
+# Create the Gradio interface
+def create_interface():
+    with gr.Blocks() as app:
+        with gr.Row():
+            text_input = gr.Textbox(label="Enter your text:", placeholder="Type your query here...")
+            file_input = gr.File(label="Upload files", file_types=["pdf", "png", "jpg", "mp3", "mp4"], multiple=True)
+            submit_button = gr.Button("Process")
+
+        output = gr.Textbox(placeholder="Response will appear here...")
+
+        submit_button.click(
+            fn=process_input,
+            inputs=[text_input, file_input],
+            outputs=output
+        )
+
+    return app
+
+# Run the interface
+if __name__ == "__main__":
+    app = create_interface()
+    app.launch()