Create Chatbot interface

Chatbot interface

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+import gradio as gr
+import pandas as pd
+import numpy as np
+from scipy.fft import fft, fftfreq
+
+# Core Analysis Functions
+def detect_cycles(data):
+    N = len(data)
+    yf = fft(data)
+    xf = fftfreq(N, 1)[:N//2]
+    dominant_freq = xf[np.argmax(np.abs(yf[0:N//2]))]
+    return int(1/dominant_freq)
+
+def analyze_data(url):
+    try:
+        df = pd.read_csv(url)
+        values = df.sum(numeric_only=True).diff().fillna(0).values
+        return {
+            "cycles": detect_cycles(values),
+            "trend": "↑ Increasing" if values[-1] > values[-30] else "↓ Decreasing"
+        }
+    except Exception as e:
+        return {"error": str(e)}
+
+# Chatbot Logic
+def respond(message, history):
+    if "analyze" in message.lower():
+        url = message.split()[-1]
+        result = analyze_data(url)
+        
+        if "error" in result:
+            return f"❌ Error: {result['error']}"
+            
+        return f"""**Analysis Results:**
+        - 🔄 Dominant Cycle: {result['cycles']} days
+        - 📈 30-Day Trend: {result['trend']}
+        """
+
+    elif any(w in message.lower() for w in ["hi", "hello", "help"]):
+        return """**Welcome to DeepSeek Analyst!** 🤖
+        Send me a CSV URL to analyze time-series data. Example:
+        `analyze https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/data/time_series_covid19_confirmed_global.csv`
+        """
+        
+    return "I specialize in data analysis. Send me a CSV URL to get started!"
+
+# Gradio Interface
+gr.ChatInterface(
+    respond,
+    chatbot=gr.Chatbot(height=400),
+    textbox=gr.Textbox(placeholder="Paste CSV URL here...", scale=7),
+    title="DeepSeek Analysis Chatbot",
+    description="Upload or paste CSV URLs to detect cycles and trends",
+    examples=[[
+        "analyze https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/data/time_series_covid19_confirmed_global.csv"
+    ]],
+    theme="soft",
+    retry_btn=None,
+    undo_btn=None,
+    clear_btn="🗑️ Clear"
+).launch()