Add session history locally

app.py

@@ -7,6 +7,7 @@ from gtts import gTTS
 from faster_whisper import WhisperModel
 import subprocess
 import shutil
+import datetime
 
 # === Clean /tmp at startup ===
 TMP_DIR = "/tmp"
@@ -24,8 +25,6 @@ for sub in os.listdir(TMP_DIR):
 os.environ["HF_HOME"] = "/tmp/hf"
 os.environ["TRANSFORMERS_CACHE"] = "/tmp/hf"
 os.environ["XDG_CACHE_HOME"] = "/tmp/hf"
-
-# Use writable cache for Hugging Face
 os.environ["MPLCONFIGDIR"] = "/tmp/matplotlib"
 openai.api_key = os.getenv("OPENAI_API_KEY")
 
@@ -47,6 +46,9 @@ LANG_CODES = {
 model = WhisperModel("base", compute_type="int8")
 client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
 
+# === In-memory session history ===
+session_history = []
+
 # === Audio Processing ===
 def convert_to_wav(input_file):
     output_wav = f"/tmp/{uuid.uuid4()}.wav"
@@ -62,22 +64,18 @@ def transcribe_audio(audio_path):
 def generate_feedback(transcript, language):
     prompt = f"""
 You are a communication coach. Please respond in [language={language}].
-
 Evaluate the user's speech on:
 1. Clarity
 2. Structure
 3. Fluency
 4. Content Relevance
 5. Tone & Expression
-
 Each category:
 - Score out of 10
 - Short explanation
-
 End with:
 - Overall feedback summary
 - One motivational line
-
 Transcript:
 {transcript}
 """
@@ -95,10 +93,8 @@ Transcript:
 def generate_example_response(transcript, language):
     prompt = f"""
 You are a communication coach.
-
 Rewrite this speech to make it more polished, fluent, and confident.
 Keep the meaning and tone the same, but improve clarity and structure.
-
 Transcript:
 {transcript}
 """
@@ -111,7 +107,6 @@ Transcript:
     )
     return response.choices[0].message.content
 
-
 # === Main Feedback Function ===
 def tutor_feedback(audio_file, language):
     if not audio_file or not os.path.exists(audio_file):
@@ -126,6 +121,14 @@ def tutor_feedback(audio_file, language):
     mp3_path = f"/tmp/{uuid.uuid4()}.mp3"
     tts.save(mp3_path)
 
+    # Store session history
+    timestamp = datetime.datetime.now().strftime("%Y-%m-%d %H:%M")
+    session_history.append({
+        "timestamp": timestamp,
+        "transcript": transcript,
+        "feedback": feedback_text
+    })
+
     return transcript, feedback_text, mp3_path, transcript
 
 # === Gradio Interface ===
@@ -160,6 +163,14 @@ with gr.Blocks(css="light_mode_chatter_owl.css") as app:
 
     example_box = gr.Textbox(label="🗣 Suggested Improvement", visible=True, placeholder="Click to generate improved speech...")
 
+    # Session History Display
+    def get_session_table():
+        rows = [[s['timestamp'], s['transcript'][:60] + '...', s['feedback'][:60] + '...'] for s in session_history]
+        return rows
+
+    history_display = gr.Dataframe(headers=["🕒 Timestamp", "📝 Transcript", "📋 Feedback Preview"], interactive=False)
+    history_btn = gr.Button("🕓 View My Past Sessions")
+
     # Connect functions
     audio_input.change(
         fn=tutor_feedback,
@@ -179,6 +190,12 @@ with gr.Blocks(css="light_mode_chatter_owl.css") as app:
         outputs=example_box
     )
 
+    history_btn.click(
+        fn=get_session_table,
+        inputs=None,
+        outputs=history_display
+    )
+
 # === Launch App ===
 if __name__ == "__main__":
     print("✅ App is launching...")