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Update app.py
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app.py
CHANGED
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@@ -3,21 +3,19 @@ import base64
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import requests
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import os
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#
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GROQ_API_KEY = os.getenv("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")
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GROQ_MODEL = "llama3-70b-8192"
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GROQ_API_URL = "https://api.groq.com/openai/v1/chat/completions"
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# === DEBUG OUTPUT TO GRADIO UI ===
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def debug_env():
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if GROQ_API_KEY is None:
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return "β GROQ_API_KEY is NOT found
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elif not GROQ_API_KEY.startswith("gsk_"):
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return f"β οΈ GROQ_API_KEY is
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else:
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return f"β
GROQ_API_KEY loaded
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# === IMAGE TO BASE64 ===
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def image_to_base64(image_path):
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try:
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with open(image_path, "rb") as image_file:
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@@ -25,25 +23,20 @@ def image_to_base64(image_path):
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except Exception:
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return None
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# === PROMPT BUILDER ===
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def build_prompt(image_b64: str) -> str:
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return f"""
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You are an expert in Non-Destructive Testing (NDT) and industrial defect analysis.
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5. Estimated Time to Repair:
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6. Tools Required:
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7. Preventive Measures:
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"""
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# === GROQ API CALL ===
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def query_groq(prompt: str) -> str:
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if not GROQ_API_KEY:
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return "β Error: GROQ_API_KEY is missing. Check Space secrets."
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@@ -68,40 +61,39 @@ def query_groq(prompt: str) -> str:
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try:
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response = requests.post(GROQ_API_URL, headers=headers, json=payload)
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if response.status_code == 401:
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return "β Error 401: Invalid API Key.
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elif response.status_code != 200:
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return f"β Error {response.status_code}: {response.text}"
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return response.json()["choices"][0]["message"]["content"]
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except Exception as e:
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return f"β Exception: {str(e)}"
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# === MAIN ANALYSIS FUNCTION ===
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def analyze_defect(image_path):
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if not image_path:
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return "β οΈ Please upload an image."
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image_b64 = image_to_base64(image_path)
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if not image_b64:
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return "β Failed to read the image. Try
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prompt = build_prompt(image_b64)
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return query_groq(prompt)
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# === GRADIO UI
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with gr.Blocks() as demo:
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gr.Markdown("#
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with gr.Tab("Analyze Image"):
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image_input = gr.Image(type="filepath", label="Upload
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output_box = gr.Textbox(label="
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analyze_btn = gr.Button("Analyze")
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analyze_btn.click(analyze_defect, inputs=image_input, outputs=output_box)
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with gr.Tab("
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debug_output = gr.Textbox(label="
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debug_btn = gr.Button("Check
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debug_btn.click(fn=debug_env, inputs=[], outputs=debug_output)
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# Run app
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if __name__ == "__main__":
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demo.launch()
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import requests
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import os
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# β
LOAD API KEY from Space Secret
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GROQ_API_KEY = os.getenv("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")
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GROQ_MODEL = "llama3-70b-8192"
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GROQ_API_URL = "https://api.groq.com/openai/v1/chat/completions"
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def debug_env():
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if GROQ_API_KEY is None:
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return "β GROQ_API_KEY is NOT found. Did you set the Space Secret and restart the Space?"
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elif not GROQ_API_KEY.startswith("gsk_"):
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return f"β οΈ GROQ_API_KEY is loaded but seems malformed: {GROQ_API_KEY[:6]}..."
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else:
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return f"β
GROQ_API_KEY loaded: {GROQ_API_KEY[:6]}..."
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def image_to_base64(image_path):
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try:
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with open(image_path, "rb") as image_file:
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except Exception:
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return None
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def build_prompt(image_b64: str) -> str:
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return f"""
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You are an expert in Non-Destructive Testing (NDT) and industrial defect analysis.
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A user has uploaded an image of a defected component. Here's the base64 representation (partial): {image_b64[:300]}...
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Analyze and return the following:
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1. Defect Type
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2. Recommended NDT Technique(s)
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3. Explanation of Defect Cause
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4. Solution/Fix
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5. Time to Repair
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6. Tools Required
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7. Preventive Measures
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"""
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def query_groq(prompt: str) -> str:
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if not GROQ_API_KEY:
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return "β Error: GROQ_API_KEY is missing. Check Space secrets."
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try:
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response = requests.post(GROQ_API_URL, headers=headers, json=payload)
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if response.status_code == 401:
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return "β Error 401: Invalid API Key."
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elif response.status_code != 200:
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return f"β Error {response.status_code}: {response.text}"
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return response.json()["choices"][0]["message"]["content"]
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except Exception as e:
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return f"β Exception: {str(e)}"
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def analyze_defect(image_path):
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if not image_path:
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return "β οΈ Please upload an image."
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image_b64 = image_to_base64(image_path)
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if not image_b64:
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return "β Failed to read the image. Try again."
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prompt = build_prompt(image_b64)
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return query_groq(prompt)
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# ==== GRADIO UI ====
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with gr.Blocks() as demo:
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gr.Markdown("# π NDT Defect Analyzer")
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with gr.Tab("Analyze Image"):
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image_input = gr.Image(type="filepath", label="Upload Image")
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output_box = gr.Textbox(label="Analysis Output")
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analyze_btn = gr.Button("Analyze")
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analyze_btn.click(analyze_defect, inputs=image_input, outputs=output_box)
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with gr.Tab("Debug API Key"):
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debug_output = gr.Textbox(label="API Key Debug")
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debug_btn = gr.Button("Check")
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debug_btn.click(fn=debug_env, inputs=[], outputs=debug_output)
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if __name__ == "__main__":
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demo.launch()
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