Spaces:
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Update app.py
Browse files
app.py
CHANGED
@@ -15,7 +15,6 @@ summarizer = None
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nlp = None
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initialization_status = "Initializing..." # Track initialization state
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# ---------------------------- Helper Functions ----------------------------
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def log_error(message: str):
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@@ -27,6 +26,39 @@ def log_error(message: str):
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except:
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print("Couldn't write to error log file.") #If logging fails, still print to console
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# ---------------------------- Tool Functions ----------------------------
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def search_pubmed(query: str) -> list:
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@@ -109,11 +141,22 @@ def setup():
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initialization_status = "Initializing..."
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try:
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print("Initializing summarization pipeline...")
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summarizer = pipeline("summarization", model=SUMMARIZATION_MODEL, token=HUGGINGFACE_API_TOKEN)
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print("Summarization pipeline initialized.")
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print("Loading SpaCy model...")
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print("SpaCy model loaded.")
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initialization_status = "MedAI Agent initialized successfully!"
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return initialization_status # Return the status message
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except Exception as e:
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@@ -125,20 +168,16 @@ def setup():
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def launch_gradio():
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"""Launches the Gradio interface."""
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global initialization_status
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with gr.Blocks() as iface:
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gr.Markdown("# MedAI: Medical Literature Review and Summarization")
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status_display = gr.Textbox(value=initialization_status, interactive=False)
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query_input = gr.Textbox(lines=3, placeholder="Enter your medical query (e.g., 'new treatments for diabetes')...")
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submit_button = gr.Button("Submit")
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output_results = gr.Markdown()
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submit_button.click(medai_agent, inputs=query_input, outputs=output_results)
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#
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#The setup is running. The value of the text display will update based on this step.
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setup_result = setup()
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status_display.value = setup_result #update the status display.
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iface.launch()
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nlp = None
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initialization_status = "Initializing..." # Track initialization state
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# ---------------------------- Helper Functions ----------------------------
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def log_error(message: str):
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except:
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print("Couldn't write to error log file.") #If logging fails, still print to console
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# ---------------------------- Language Model Loading ----------------------------
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def load_spacy_model(model_name="en_core_web_sm"):
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"""Loads the SpaCy language model, downloading it if necessary."""
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global initialization_status # To update the initialization status
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try:
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print(f"Attempting to load SpaCy model '{model_name}'...")
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nlp_model = spacy.load(model_name)
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print(f"Successfully loaded SpaCy model '{model_name}'.")
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initialization_status += f"\nSpaCy model '{model_name}' loaded."
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return nlp_model
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except OSError:
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print(f"SpaCy model '{model_name}' not found. Downloading...")
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initialization_status += f"\nSpaCy model '{model_name}' not found. Downloading..."
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try:
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import subprocess
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subprocess.check_call(["python", "-m", "spacy", "download", model_name])
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nlp_model = spacy.load(model_name)
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print(f"Successfully loaded SpaCy model '{model_name}' after downloading.")
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initialization_status += f"\nSuccessfully loaded SpaCy model '{model_name}' after downloading."
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return nlp_model
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except Exception as e:
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log_error(f"Failed to download or load SpaCy model '{model_name}': {e}")
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initialization_status += f"\nFailed to download or load SpaCy model '{model_name}': {e}"
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return None # Indicate failure
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except Exception as e:
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log_error(f"Error loading SpaCy model '{model_name}': {e}")
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initialization_status += f"\nError loading SpaCy model '{model_name}': {e}"
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return None
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# ---------------------------- Tool Functions ----------------------------
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def search_pubmed(query: str) -> list:
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initialization_status = "Initializing..."
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try:
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print("Initializing summarization pipeline...")
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initialization_status += "\nInitializing summarization pipeline..."
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summarizer = pipeline("summarization", model=SUMMARIZATION_MODEL, token=HUGGINGFACE_API_TOKEN)
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print("Summarization pipeline initialized.")
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initialization_status += "\nSummarization pipeline initialized."
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print("Loading SpaCy model...")
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initialization_status += "\nLoading SpaCy model..."
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global nlp
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nlp = load_spacy_model() # Call the SpaCy loading function.
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if nlp is None:
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initialization_status += "\nSpaCy model failed to load. Check the error log."
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return initialization_status
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print("SpaCy model loaded.")
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initialization_status += "\nSpaCy model loaded."
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initialization_status = "MedAI Agent initialized successfully!"
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return initialization_status # Return the status message
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except Exception as e:
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def launch_gradio():
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"""Launches the Gradio interface."""
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global initialization_status # Allows the function to modify global variable
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with gr.Blocks() as iface:
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gr.Markdown("# MedAI: Medical Literature Review and Summarization")
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status_display = gr.Textbox(value=initialization_status, interactive=False) # Displays initialization status
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query_input = gr.Textbox(lines=3, placeholder="Enter your medical query (e.g., 'new treatments for diabetes')...")
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submit_button = gr.Button("Submit")
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output_results = gr.Markdown()
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submit_button.click(medai_agent, inputs=query_input, outputs=output_results)
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status_display.value = setup() # Set the status after running setup
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iface.launch()
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