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Commit ·
c6cb6df
1
Parent(s): 58daaac
Update app.py
Browse files
app.py
CHANGED
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@@ -66,6 +66,7 @@ def explain_recommendation(model_name):
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st.title('AI Model Recommender')
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description = st.text_area("Describe your application:", "")
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if "rec_model_pressed" not in st.session_state:
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st.session_state.rec_model_pressed = False
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@@ -78,17 +79,23 @@ if st.button("Recommend AI Model"):
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if st.session_state.rec_model_pressed:
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if description:
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# Validate recommended model
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# Commenting out model validation for the example
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# if recommended_model not in KNOWN_MODELS:
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# st.warning("The recommendation is ambiguous. Please refine your description or consult an expert.")
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# else:
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st.subheader(f"Recommended
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explanation = explain_recommendation(recommended_model)
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st.write("Reason:", explanation)
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# Collecting rating and feedback through Streamlit
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rating = st.slider("Rate the explanation from 1 (worst) to 5 (best):", 1, 5)
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feedback = st.text_input("Any additional feedback?")
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@@ -98,6 +105,8 @@ if st.session_state.rec_model_pressed:
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if st.session_state.feedback_submitted:
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st.success("Thank you for your feedback!")
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else:
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st.warning("Please provide a description.")
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st.title('AI Model Recommender')
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description = st.text_area("Describe your application:", "")
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recommendation_type = st.radio("What type of recommendation are you looking for?", ["Recommend Open-Source Model", "Recommend API Service"])
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if "rec_model_pressed" not in st.session_state:
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st.session_state.rec_model_pressed = False
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if st.session_state.rec_model_pressed:
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if description:
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# Modified query based on recommendation type
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if recommendation_type == "Recommend Open-Source Model":
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query = f"Given the application described as: '{description}', which open-source AI model would be most suitable?"
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else: # Recommend API Service
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query = f"Given the application described as: '{description}', which AI service API would be best?"
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recommended_model = recommend_ai_model_via_gpt(query) # Updated function call
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# Validate recommended model
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# Commenting out model validation for the example
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# if recommended_model not in KNOWN_MODELS:
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# st.warning("The recommendation is ambiguous. Please refine your description or consult an expert.")
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# else:
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st.subheader(f"Recommended: {recommended_model}")
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explanation = explain_recommendation(recommended_model)
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st.write("Reason:", explanation)
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# Collecting rating and feedback through Streamlit
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rating = st.slider("Rate the explanation from 1 (worst) to 5 (best):", 1, 5)
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feedback = st.text_input("Any additional feedback?")
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if st.session_state.feedback_submitted:
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st.success("Thank you for your feedback!")
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st.write("Contact team@autumn8.ai or call (857) 600-0180 to learn how we can fine-tune and host this app for you.")
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else:
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st.warning("Please provide a description.")
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