Update app.py

app.py

@@ -1,4 +1,4 @@
-# HF Spaces / Gradio app: Vochi CRM call logs + Gemini analysis
+# HF Spaces / Gradio app: Vochi CRM call logs + AI analysis
 # ─────────────────────────────────────────────────────────────────────────────
 # How to deploy (short):
 # 1) Create a new Space (Python + Gradio).
@@ -7,25 +7,11 @@
 # 4) In the Space → Settings → Repository secrets, add:
 #    - VOCHI_BASE_URL (e.g. https://crm.vochi.by/api)
 #    - VOCHI_CLIENT_ID (client id string)
-#    - GOOGLE_API_KEY  (Gemini API key)
-# 5) Tokens/keys are NEVER accepted via UI; the app reads ONLY from Space Secrets.
-#
-# requirements.txt (copy these lines into a separate file):
-# -----------------------------------------------------------------------------
-# gradio>=4.40.0
-# requests>=2.31.0
-# pandas>=2.2.2
-# numpy>=1.26.4
-# soundfile>=0.12.1
-# google-genai>=0.6.0
-# -----------------------------------------------------------------------------
-#
-# Notes:
-# - Audio playback & download are handled inside the app; the MP3 is saved under /tmp.
-# - Gemini accepts MP3 uploads directly, so WAV conversion is not strictly required.
-# - If your Vochi instance needs auth, set an Authorization header below.
+#    - GOOGLE_API_KEY  (API key)
+
+
 #
-# UI language: Belarusian.
+# UI language: English.
 
 from __future__ import annotations
 import os
@@ -50,7 +36,7 @@ except Exception:
 # Config
 # ─────────────────────────────────────────────────────────────────────────────
 BASE_URL  = os.environ.get("VOCHI_BASE_URL", "https://crm.vochi.by/api")
-CLIENT_ID = os.environ.get("VOCHI_CLIENT_ID", "elq3tE3JhZWuKi8HsGI6PkipkYiUbjJN")
+CLIENT_ID = os.environ.get("VOCHI_CLIENT_ID") 
 
 # If your API needs auth, fill it here (or via VOCHI_BEARER in Secrets)
 _AUTH_TOKEN = os.environ.get("VOCHI_BEARER", "").strip()
@@ -145,6 +131,7 @@ MODEL_OPTIONS = [
 # ─────────────────────────────────────────────────────────────────────────────
 # Utilities
 # ─────────────────────────────────────────────────────────────────────────────
+
 def label_row(row: dict) -> str:
     start = row.get("Start", "")
     src   = row.get("CallerId", "")
@@ -194,12 +181,13 @@ def _system_instruction(lang_code: str) -> str:
 # ─────────────────────────────────────────────────────────────────────────────
 # Gradio handlers
 # ─────────────────────────────────────────────────────────────────────────────
+
 def ui_fetch_calls(date_str: str):
     try:
         items = fetch_calllogs(date_str.strip())
         df = pd.DataFrame(items)
         opts = [(label_row(r), i) for i, r in df.iterrows()]
-        msg = f"Знойдзена званкоў: {len(df)}"
+        msg = f"Calls found: {len(df)}"
         # Update dropdown choices and default value
         dd = gr.update(choices=[(lbl, idx) for lbl, idx in opts], value=(opts[0][1] if opts else None))
         return df, dd, msg
@@ -209,18 +197,18 @@ def ui_fetch_calls(date_str: str):
             body = e.response.text[:800]
         except Exception:
             pass
-        return pd.DataFrame(), gr.update(choices=[], value=None), f"HTTP памылка: {e}\n{body}"
+        return pd.DataFrame(), gr.update(choices=[], value=None), f"HTTP error: {e}\n{body}"
     except Exception as e:
-        return pd.DataFrame(), gr.update(choices=[], value=None), f"Памылка загрузкі: {e}"
+        return pd.DataFrame(), gr.update(choices=[], value=None), f"Load error: {e}"
 
 
 def ui_play_audio(selected_idx: Optional[int], df: pd.DataFrame):
     if selected_idx is None or df is None or df.empty:
-        return "<em>Спачатку атрымаць спіс і выбраць радок.</em>", None, None, ""
+        return "<em>First fetch the list and select a row.</em>", None, None, ""
     try:
         row = df.iloc[int(selected_idx)]
     except Exception:
-        return "<em>Некарэктны выбар радка.</em>", None, None, ""
+        return "<em>Invalid row selection.</em>", None, None, ""
     unique_id = str(row.get("UniqueId"))
     try:
         fpath = f"/tmp/call_{unique_id}.mp3"
@@ -229,16 +217,16 @@ def ui_play_audio(selected_idx: Optional[int], df: pd.DataFrame):
         if not os.path.exists(fpath) or os.path.getsize(fpath) == 0:
             fpath, url_used = fetch_mp3_by_unique_id(unique_id)
         html = f'URL: <a href="{url_used}" target="_blank">{url_used}</a>'
-        return html, fpath, fpath, "Гатова ✅"
+        return html, fpath, fpath, "Ready ✅"
     except requests.HTTPError as e:
         body = ""
         try:
             body = e.response.text[:800]
         except Exception:
             pass
-        return f"HTTP памылка: {e}<br><pre>{body}</pre>", None, None, ""
+        return f"HTTP error: {e}<br><pre>{body}</pre>", None, None, ""
     except Exception as e:
-        return f"Не атрымалася прайграць: {e}", None, None, ""
+        return f"Playback failed: {e}", None, None, ""
 
 
 def ui_toggle_custom_prompt(template_key: str):
@@ -248,14 +236,14 @@ def ui_toggle_custom_prompt(template_key: str):
 def ui_analyze(selected_idx: Optional[int], df: pd.DataFrame,
                template_key: str, custom_prompt: str, lang_code: str, model_pref: str):
     if df is None or df.empty or selected_idx is None:
-        return "Спачатку атрымаць спіс, выбраць званок і (пры патрэбе) націснуць “🎧 Прайграць”."
+        return "First fetch the list, choose a call, and (optionally) click ‘🎧 Play’."
     if not _HAS_GENAI:
-        return "❌ Бібліятэка google-genai не знойдзена. Упэўніцеся, што яна ў requirements.txt."
+        return "❌ google-genai library not found. Make sure it's in requirements.txt."
 
     try:
         row = df.iloc[int(selected_idx)]
     except Exception:
-        return "Некарэктны выбар радка."
+        return "Invalid row selection."
 
     unique_id = str(row.get("UniqueId"))
     mp3_path = f"/tmp/call_{unique_id}.mp3"
@@ -265,22 +253,22 @@ def ui_analyze(selected_idx: Optional[int], df: pd.DataFrame,
         if not os.path.exists(mp3_path) or os.path.getsize(mp3_path) == 0:
             mp3_path, _ = fetch_mp3_by_unique_id(unique_id)
     except Exception as e:
-        return f"Не атрымалася атрымаць аўдыё для аналізу: {e}"
+        return f"Failed to obtain audio for analysis: {e}"
 
     api_key = os.environ.get("GOOGLE_API_KEY", "").strip()
     if not api_key:
-        return "GOOGLE_API_KEY не зададзены ў Secrets Space. Дадай яго ў Settings → Secrets і перазапусці Space."
+        return "GOOGLE_API_KEY is not set in Space Secrets. Add it in Settings → Secrets and restart the Space."
 
     try:
         client = genai.Client(api_key=api_key)
     except Exception as e:
-        return f"Не атрымалася ініцыялізаваць кліент Gemini: {e}"
+        return f"Failed to initialize the client: {e}"
 
     # Upload file
     try:
         uploaded_file = client.files.upload(file=mp3_path)
     except Exception as e:
-        return f"Памылка загрузкі файла ў Gemini: {e}"
+        return f"File upload error: {e}"
 
     # Prepare prompt
     if template_key == "custom":
@@ -299,8 +287,8 @@ def ui_analyze(selected_idx: Optional[int], df: pd.DataFrame,
         resp = client.models.generate_content(model=model_name, contents=[uploaded_file, merged])
         text = getattr(resp, "text", None)
         if not text:
-            return "Аналіз завершаны без тэкставага адказу. Праверце налады мадэлі і фармат файла."
-        return f"### Вынік аналізу\n\n{text}"
+            return "Analysis finished but returned no text. Check model settings and file format."
+        return f"### Analysis result\n\n{text}"
     except Exception as e:
         # Try to attach more error details
         msg = str(e)
@@ -309,7 +297,7 @@ def ui_analyze(selected_idx: Optional[int], df: pd.DataFrame,
                 msg = msg + "\n\n" + str(e.args[0])
         except Exception:
             pass
-        return f"Памылка падчас выкліку мадэлі: {msg}"
+        return f"Error during model call: {msg}"
     finally:
         # Best-effort cleanup of remote file
         try:
@@ -322,14 +310,15 @@ def ui_analyze(selected_idx: Optional[int], df: pd.DataFrame,
 # ─────────────────────────────────────────────────────────────────────────────
 # Build Gradio UI
 # ─────────────────────────────────────────────────────────────────────────────
+
 def _today_str():
     return _dt.date.today().strftime("%Y-%m-%d")
 
-with gr.Blocks(title="Vochi CRM + Gemini (Gradio)") as demo:
+with gr.Blocks(title="Vochi CRM Call Logs (Gradio)") as demo:
     gr.Markdown(
         """
-        # Vochi CRM → MP3 → Gemini ан��ліз
-        *Атрымаць званкі за дзень, прайграць/скачаць MP3 і прааналізаваць званок мадэллю Google Gemini.*
+        # Vochi CRM → MP3 → AI analysis
+        *Fetch daily calls, play/download MP3, and analyze the call with an AI model.*
         
         """
     )
@@ -337,24 +326,24 @@ with gr.Blocks(title="Vochi CRM + Gemini (Gradio)") as demo:
     with gr.Tabs():
         with gr.Tab("Vochi CRM"):
             with gr.Row():
-                date_inp = gr.Textbox(label="Дата", value=_today_str(), scale=1)
-                fetch_btn = gr.Button("Атрымаць спіс", variant="primary", scale=0)
-            calls_df = gr.Dataframe(value=pd.DataFrame(), label="Спіс званкоў", interactive=False)
-            row_dd = gr.Dropdown(choices=[], label="Званок", info="Абярыце радок для прайгравання/аналізу")
+                date_inp = gr.Textbox(label="Date", value=_today_str(), scale=1)
+                fetch_btn = gr.Button("Fetch list", variant="primary", scale=0)
+            calls_df = gr.Dataframe(value=pd.DataFrame(), label="Call list", interactive=False)
+            row_dd = gr.Dropdown(choices=[], label="Call", info="Select a row for playback/analysis")
             with gr.Row():
-                play_btn = gr.Button("🎧 Прайграць")
+                play_btn = gr.Button("🎧 Play")
             url_html = gr.HTML()
-            audio_out = gr.Audio(label="Аўдыё", type="filepath")
-            file_out = gr.File(label="MP3 для сцягвання")
+            audio_out = gr.Audio(label="Audio", type="filepath")
+            file_out = gr.File(label="MP3 download")
             status_fetch = gr.Markdown()
 
-        with gr.Tab("AI Analysis (Gemini)"):
+        with gr.Tab("AI Analysis"):
             with gr.Row():
-                tpl_dd = gr.Dropdown(choices=TPL_OPTIONS, value="simple", label="Шаблон")
-                lang_dd = gr.Dropdown(choices=LANG_OPTIONS, value="default", label="Мова")
-                model_dd = gr.Dropdown(choices=MODEL_OPTIONS, value="models/gemini-2.5-flash", label="Мадэль")
+                tpl_dd = gr.Dropdown(choices=TPL_OPTIONS, value="simple", label="Template")
+                lang_dd = gr.Dropdown(choices=LANG_OPTIONS, value="default", label="Language")
+                model_dd = gr.Dropdown(choices=MODEL_OPTIONS, value="models/gemini-2.5-flash", label="Model")
             custom_prompt_tb = gr.Textbox(label="Custom prompt", lines=8, visible=False)
-            analyze_btn = gr.Button("🧠 Аналіз", variant="primary")
+            analyze_btn = gr.Button("🧠 Analyze", variant="primary")
             analysis_md = gr.Markdown()
 
     # Wire events