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emotion_selector.py

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+import gradio as gr
+
+class EmotionSelector(gr.Component):
+    def __init__(self, label="Select your emotion", **kwargs):
+        super().__init__(**kwargs)
+        self.label = label
+        self.emotions = [
+            ("joy", "😊"),
+            ("anger", "😠"),
+            ("sadness", "😢"),
+            ("fear", "😨"),
+            ("surprise", "😲"),
+            ("love", "❤️"),
+            ("neutral", "😐"),
+            ("disgust", "🤢")
+        ]
+
+    def get_block(self, root):
+        with gr.Row():
+            gr.Markdown(f"### {self.label}")
+            btns = []
+            for emotion, emoji in self.emotions:
+                btn = gr.Button(f"{emoji} {emotion.capitalize()}", variant="secondary", scale=1)
+                btns.append((btn, emotion))
+
+            selected_emotion = gr.State(value="neutral")
+
+            for btn, emotion in btns:
+                btn.click(lambda e=emotion: e, None, selected_emotion)
+
+        return selected_emotion
+
+    def _get_props(self):
+        return {"label": self.label}
+

soul_sync.py

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+import gradio as gr
+from emotion_selector import EmotionSelector  # custom component file
+import requests
+import modal
+
+# --- Modal GPT-2 Inference Function ---
+generate_remote = modal.Function.lookup("soulsync-inference", "generate_gpt2_response")
+
+# --- Nebius Emotion Detection ---
+def detect_emotion_nebius(text):
+    API_URL = "https://models.api.nebius.ai/v1/models/huggingface/j-hartmann--emotion-english-distilroberta-base:predict"
+    headers = {
+        "Authorization": "Bearer eyJhbGciOiJIUzI1NiIsImtpZCI6IlV6SXJWd1h0dnprLVRvdzlLZWstc0M1akptWXBvX1VaVkxUZlpnMDRlOFUiLCJ0eXAiOiJKV1QifQ.eyJzdWIiOiJnb29nbGUtb2F1dGgyfDEwMDE2MjA4NDQ4MDA2OTkyMTUzNSIsInNjb3BlIjoib3BlbmlkIG9mZmxpbmVfYWNjZXNzIiwiaXNzIjoiYXBpX2tleV9pc3N1ZXIiLCJhdWQiOlsiaHR0cHM6Ly9uZWJpdXMtaW5mZXJlbmNlLmV1LmF1dGgwLmNvbS9hcGkvdjIvIl0sImV4cCI6MTkwNzAzNTc1NSwidXVpZCI6ImQ2MjA0NjgyLTdiNjAtNGRmOS04Zjk2LWM0NzE1YzE1NDg5MSIsIm5hbWUiOiJzb3Vsc3luYzMxIiwiZXhwaXJlc19hdCI6IjIwMzAtMDYtMDdUMDQ6MDk6MTUrMDAwMCJ9.ywEtajHSL6Gq-gQTe7vHmFsfwFauhQdIKj-vu5v9VCU"
+        "Content-Type": "application/json"
+    }
+    payload = {"inputs": text}
+
+    response = requests.post(API_URL, headers=headers, json=payload)
+    response.raise_for_status()
+    predictions = response.json()
+
+    if isinstance(predictions, list):
+        return predictions[0]['label']
+    else:
+        return "neutral"
+
+# --- Response Generator ---
+def generate_response(dummy_text, emotion):
+    affirmations = {
+        "joy": "Keep smiling, you radiate positive energy! 😊",
+        "anger": "Take a deep breath. You are in control. 🌿",
+        "sadness": "You’re not alone. Brighter days are coming. 💙",
+        "fear": "You are safe. Everything is going to be okay. 🛡️",
+        "surprise": "Let the unexpected bring growth. 🌱",
+        "love": "You are deeply valued and loved. 💖",
+        "neutral": "Stay grounded. Peace comes from within. 🧘",
+        "disgust": "This moment will pass. Choose calm. 🌊"
+    }
+    affirmation = affirmations.get(emotion, "Stay strong. You’ve got this! 💪")
+
+    # Call Modal GPT-2 Inference
+    gpt_output = generate_remote.call(dummy_text)
+
+    # Log to journal
+    with open("journal.txt", "a", encoding="utf-8") as file:
+        file.write(f"User Emotion: {emotion}\nAI Response: {gpt_output}\nAffirmation: {affirmation}\n\n")
+
+    return f"🧠 **Detected Emotion:** {emotion}\n\n💬 **SoulSync Reply:** {gpt_output}\n\n🌈 **Affirmation:** {affirmation}"
+
+# --- View journal ---
+def view_journal():
+    try:
+        with open("journal.txt", "r", encoding="utf-8") as file:
+            return file.read()
+    except FileNotFoundError:
+        return "📭 No journal entries yet."
+
+# --- Reset session/journal ---
+def reset_session():
+    with open("journal.txt", "w", encoding="utf-8") as f:
+        f.write("")
+    return gr.update(value="")
+
+# --- Main function combining emotion selector & response generation ---
+def soul_sync(emotion):
+    dummy_input = "Let's talk"
+    return generate_response(dummy_input, emotion)
+
+# --- Gradio UI ---
+with gr.Blocks(theme=gr.themes.Soft(), css=".gradio-container {background-color: #fff8f0;}") as demo:
+    gr.Markdown("## 🌟 SoulSync – Your AI Mental Health Companion 🌈")
+    gr.Markdown("Select your emotion and receive support, encouragement, and AI wisdom.")
+
+    with gr.Tab("🧠 Talk to SoulSync"):
+        emotion_input = EmotionSelector(label="Select your emotion") 
+        send_btn = gr.Button("Send 💬")
+        response_output = gr.Textbox(label="SoulSync Response", lines=5, interactive=False)
+
+        send_btn.click(fn=soul_sync, inputs=emotion_input, outputs=response_output)
+
+    with gr.Tab("📓 Journal"):
+        journal_btn = gr.Button("📖 View Journal")
+        journal_output = gr.Textbox(lines=15, interactive=False)
+        clear_btn = gr.Button("Reset Conversation 🔁")
+
+        journal_btn.click(fn=view_journal, outputs=journal_output)
+        clear_btn.click(fn=reset_session, outputs=journal_output)
+
+if __name__ == "__main__":
+    demo.launch()
+
+