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Update app.py
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app.py
CHANGED
@@ -1,14 +1,12 @@
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import os
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import requests
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import gradio as gr
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from
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import tempfile
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import shutil
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# Retrieve the API key from the environment variable
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groq_api_key = os.getenv("GROQ_API_KEY")
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if not groq_api_key:
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raise ValueError("GROQ_API_KEY is missing! Set it in the Hugging Face Spaces 'Secrets'.")
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url = "https://api.groq.com/openai/v1/chat/completions"
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headers = {"Authorization": f"Bearer {groq_api_key}"}
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# Function to
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def
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body = {
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"model": "llama-3.1-8b-instant",
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"messages": [{"role": "user", "content":
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}
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response = requests.post(url, headers=headers, json=body)
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if response.status_code == 200:
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return response.json()['choices'][0]['message']['content']
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else:
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return f"Error: {response.json()}"
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# Function to
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def
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#
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structure = Structure(
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lattice,
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["Si"],
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[[0, 0, 0]]
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)
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return structure
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# Function to generate CIF files and visualize structures
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def generate_and_visualize(application):
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# Get material recommendations
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recommendations = get_material_recommendations(application)
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# Parse the recommendations to extract material names
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# For simplicity, we'll assume the material names are listed as:
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# 1. Material A
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# 2. Material B
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# 3. Material C
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lines = recommendations.split('\n')
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material_names = []
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for line in lines:
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if line.strip().startswith(('1.', '2.', '3.')):
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parts = line.split('.')
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if len(parts) > 1:
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material_name = parts[1].strip().split(' ')[0]
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material_names.append(material_name)
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# Create temporary directory to store CIF files
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temp_dir = tempfile.mkdtemp()
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cif_file_paths = []
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for name in material_names:
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structure = create_dummy_structure(name)
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cif_path = os.path.join(temp_dir, f"{name}.cif")
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writer = CifWriter(structure)
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writer.write_file(cif_path)
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cif_file_paths.append(cif_path)
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#
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# Create Gradio interface
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interface = gr.Interface(
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fn=
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inputs=gr.Textbox(lines=2, placeholder="Enter application
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outputs=
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title="
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description="Enter a
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)
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# Launch Gradio app
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if __name__ == "__main__":
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interface.launch()
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import os
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import requests
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import gradio as gr
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from ase.io import read
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import nglview as nv
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import tempfile
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# Retrieve the API key from the environment variable
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groq_api_key = os.getenv("GROQ_API_KEY")
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if not groq_api_key:
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raise ValueError("GROQ_API_KEY is missing! Set it in the Hugging Face Spaces 'Secrets'.")
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url = "https://api.groq.com/openai/v1/chat/completions"
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headers = {"Authorization": f"Bearer {groq_api_key}"}
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# Function to interact with Groq API
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def chat_with_groq(user_input):
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body = {
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"model": "llama-3.1-8b-instant",
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"messages": [{"role": "user", "content": user_input}]
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}
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response = requests.post(url, headers=headers, json=body)
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if response.status_code == 200:
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return response.json()['choices'][0]['message']['content']
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else:
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return f"Error: {response.json()}"
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# Function to generate and visualize CIF files
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def generate_and_visualize_cifs(application):
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# Get response from Groq API
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response = chat_with_groq(f"Suggest 3 best materials for {application} with their properties and provide CIF data.")
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# Parse the response to extract materials and their CIF contents
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# This is a placeholder; actual implementation depends on response format
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materials = parse_response(response)
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views = []
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for material in materials:
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cif_content = material['cif_content']
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with tempfile.NamedTemporaryFile(mode='w+', suffix='.cif', delete=False) as tmp:
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tmp.write(cif_content)
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tmp_path = tmp.name
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atoms = read(tmp_path)
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view = nv.show_ase(atoms)
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views.append(view)
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return views
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# Gradio interface
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def interface_function(application):
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views = generate_and_visualize_cifs(application)
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return views
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interface = gr.Interface(
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fn=interface_function,
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inputs=gr.Textbox(lines=2, placeholder="Enter material application..."),
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outputs="text",
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title="Material Selector and Visualizer",
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description="Enter a material application to get top 3 materials and visualize their atomic structures."
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)
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if __name__ == "__main__":
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interface.launch()
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