'rer'

app.py

@@ -206,6 +206,27 @@ def calcul(math, francais, physique, svt, philo, eps, thea, hist, anglais):
     r = total / 28
     return matha.trunc(r * 100) / 100
 
+def mariam_web(pro):
+	if not pro:
+		return "Veuillez saisir une question."
+    
+    t_pro = " agis en tant q'ia appele mariam et creer par youssouf. ton role est uniquement d'assister. reponds a cette question: " + pro
+    answer = client.predict(
+				t_pro,	# str  in 'input_text' Textbox component
+				api_name="/predict")
+
+
+    print(answer)
+    return answer
+
+def mariam_chimi(chi,im):
+
+	prompt_chi = " tu es un expert en chimie, tu as 20 d'expreriance dans le domaine. reponds a cette question: " + chi
+	if not im :
+		answer = client.predict(
+		t_pro,	# str  in 'input_text' Textbox component
+		api_name="/predict"
+
 
 # interface 1
 app1 = gr.Interface(
@@ -291,9 +312,21 @@ app5 = gr.Interface(
     description=description_c,
 )
 
-demo = gr.TabbedInterface(
-    [app1, app2, app3, app4,app6,app5],
-    ["OCR", "MARIAM-u", "Mariam-French", "Mariam-Philo","Mariam-Hist", "Note Calc"],
+app7 = gr.Interface(
+	fn=mariam_web,
+	inputs=[gr.TextBox],
+	outputs=gr.TextBox(label="Reponse")
+	)
+
+app8 = gr.Interface(
+	fn = mariam_chimi,
+	input=[gr.TextBox, gr.Image(type="pil")],
+    outputs=[gr.Textbox(label='Reponse')],
 )
 
+demo = gr.TabbedInterface(
+    [app1, app2, app3,app4,app6,app5,app7,app8],
+    ["OCR", "MARIAM-u", "Mariam-French", "Mariam-Philo","Mariam-Hist", "Note Calc","Mariam-web","Mariam-chimi"]
+
+
 demo.launch()

requirements.txt

@@ -1,3 +1 @@
-gradio
-pypdf2
-openai
+gradio